Open AccessVarious Techniques Involving Plant Leaf Diseases Detection
Author(s) -
Anitha. K*,
S Srinivasan.
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c4263.098319
Subject(s) - support vector machine , artificial neural network , artificial intelligence , machine learning , task (project management) , segmentation , agriculture , computer science , field (mathematics) , plant disease , probabilistic logic , rice plant , plant growth , pattern recognition (psychology) , microbiology and biotechnology , engineering , agronomy , biology , mathematics , ecology , systems engineering , pure mathematics
In agricultural field, paddy development assumes an imperative job. Be that as it may, their developments are influenced by different diseases. There will be diminish in the plant growth, if the illnesses are not recognized at an early arrange. There are several image processing methods we can custom such as Genetic algorithm, Probabilistic Neural Network (NN), Back propagation Neural Network (BNN), Artificial-Neural-Network(ANN), and Support vector machine(SVM). Choosing an organization technique is continuously a tough task since the worth of outcome can differ for unlike input data. Plant leaf infection categorizations have wide-ranging applications in several fields such as in biological research, in Agriculture etc. This survey affords a summary of dissimilar organisation systems used for plant leaf disease classification. Also we have discoursed prevailing segmentation technique beside with classifiers for exposure of plant leaves.